cuBLAS
Aug 21, 2026
GPU-Accelerated Clustering for Financial Instruments at Scale
Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor...
13 MIN READ
Jul 30, 2026
Run High-Performance Core Math at Scale with NVIDIA nvmath-python
NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users...
15 MIN READ
Jun 16, 2026
NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance
NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium....
11 MIN READ
Mar 09, 2026
CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features
CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X architectures (NVIDIA Ampere and NVIDIA Ada), as...
15 MIN READ
Dec 04, 2025
NVIDIA CUDA 13.1 Powers Next-Gen GPU Programming with NVIDIA CUDA Tile and Performance Gains
NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago. In this release, you’ll...
11 MIN READ
Oct 28, 2025
Introducing the CodonFM Open Model for RNA Design and Analysis
Open research is critical for driving innovation, and many breakthroughs in AI and science are achieved through open collaboration. In the field of digital...
10 MIN READ
Oct 24, 2025
Unlocking Tensor Core Performance with Floating Point Emulation in cuBLAS
NVIDIA CUDA-X math libraries provide the fundamental numerical building blocks that enable developers to deploy accelerated applications across multiple...
11 MIN READ
May 01, 2025
Boosting Matrix Multiplication Speed and Flexibility with NVIDIA cuBLAS 12.9
The NVIDIA CUDA-X math libraries empower developers to build accelerated applications for AI, scientific computing, data processing, and more. Two...
8 MIN READ
Feb 04, 2025
New AI Model Offers Cellular-Level View of Cancerous Tumors
Researchers studying cancer unveiled a new AI model that provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed...
3 MIN READ
Dec 14, 2024
Introducing Tile-Based Programming in Warp 1.5.0
With the latest release of Warp 1.5.0, developers now have access to new tile-based programming primitives in Python. Leveraging cuBLASDx and cuFFTDx, these...
14 MIN READ
Nov 18, 2024
Fusing Epilog Operations with Matrix Multiplication Using nvmath-python
nvmath-python (Beta) is an open-source Python library, providing Python programmers with access to high-performance mathematical operations from NVIDIA CUDA-X...
8 MIN READ
Jun 12, 2024
Introducing Grouped GEMM APIs in cuBLAS and More Performance Updates
The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance...
7 MIN READ
Sep 28, 2023
NVIDIA H100 System for HPC and Generative AI Sets Record for Financial Risk Calculations
Generative AI is taking the world by storm, from large language models (LLMs) to generative pretrained transformer (GPT) models to diffusion models. NVIDIA is...
7 MIN READ
Feb 01, 2023
New cuBLAS 12.0 Features and Matrix Multiplication Performance on NVIDIA Hopper GPUs
The NVIDIA H100 Tensor Core GPU, based on the NVIDIA Hopper architecture with the fourth generation of NVIDIA Tensor Cores, recently debuted delivering...
10 MIN READ
Dec 12, 2022
CUDA Toolkit 12.0 Released for General Availability
NVIDIA announces the newest CUDA Toolkit software release, 12.0. This release is the first major release in many years and it focuses on new programming models...
12 MIN READ
Aug 03, 2022
Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server
This is the first part of a two-part series discussing the NVIDIA Triton Inference Server’s FasterTransformer (FT) library, one of the fastest libraries for...
10 MIN READ